Coldstream-Louis.github.io/post.html at master · Coldstream-Louis/Coldstream-Louis.github.io · GitHub

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            <div class="post-heading">
              <h1>Man must explore, and this is exploration at its greatest</h1>
              <h2 class="subheading">Problems look mighty small from 150 miles up</h2>
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              <h3 class="post-title">
                Security Analysis of Mobile Advertisement
              </h3>
              <h4 class="post-subtitle">
                Advisor: Prof. Haoyu Wang (BUPT), Prof. Yao Guo (PKU)
              </h4>
            <p>Made a taxonomy for devious advertisement content on Android App by doing a survey about the policies related
              to mobile ad content of popular app markets, media reports in news outlets, and some real-world apps that hosting
              devious ad contents</p>
            <p>Involved in the implementation of DDM(Ad Deviousness Detection) Module in MadDroid framework and constructed
              the training set (about 1800 images) for the detection of ad click-deceptive images</p>
            <p>Participated in finishing the paper of Characterizing and Detecting Devious Ad Content for Android Apps</p>
            <p class="post-meta">June 2018 - August 2018</p>
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          <div class="post-preview">
            <h3 class="post-title">
              Material online WeChat Mini Program
            </h3>
            <h4 class="post-subtitle">
              An out-sourcing project
            </h4>
            <p>Carried on project management through agile development mode(Scrum), compiled the project proposal, and designed the development scheme</p>
            <p>Took charge of Front-end and Back-end programming, involved in UI design and database design</p>
            <p class="post-meta">March 2018 - June 2018</p>
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            <h3 class="post-title">
              Intelligent Car Based on NVIDIA Jetson TX2
            </h3>
            <h4 class="post-subtitle">
              Advisor：Prof. Shijin Yuan
            </h4>
            <p>Investigated the technological information of popular self-driving system and the demand for intelligent
              identification of freight vehicles in the market</p>
            <p>Managed the project’ s progress, wrote code that using TensorFlow API to do object recognition, tested
              different algorithms(Faster-RCNN, YOLO, SSD), compared their result and speed, selected SSD</p>
            <p>Tested the obstacle avoidance ability of the car, and achieved the accuracy of human recognition up to 90%</p>
            <p class="post-meta">June 2017 - March 2018</p>
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          <hr>
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            <h3 class="post-title">
              AR Picture Recognize with Vuforia SDK of Unity 3D
            </h3>
            <h4 class="post-subtitle">
              Adviser: Prof. Ying Shen
            </h4>
            <p>Took charge of Vuforia SDK Installation, AR Image Recognition Realization, 3D Models and Animations make and design,
              Texture redesign, Music Play Realization, Video play Realization, Rotate, Scale Change and Move Improvement. </p>
            <p>Installed Android Environment and create an APK of the Unity application, tested the APK and corrected the bugs in script. </p>
            <p>For further information about this project, please click <a style="font-size: 24px;" href="https://drive.google.com/open?id=13S6yneI8fXwbKmbC56FWiJrHahDxxTUu">here</a></p>
            <p class="post-meta">June 2017 - July 2018</p>
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          <div class="post-preview">
            <h2>Publications</h2>
            <p>Haoyu Wang, Li Li, Feng Dong, Tegawendé F. Bissyandé, Tianming Liu, Yao Guo, Jacques Klein, Shuyang Du, Yajin Zhou and Guoai Xu, “Characterizing
              and Detecting Devious Ad Content for Android Apps”, ICSE 2019, Montreal, QC, Canada, Submitted, August 2018.</p>
            <p>Hangjun Zhou, Guang Sun, Shuyang Du, Feng Liu, Bo Yang, Yaqian Zhuo,“A Control Approach Using Network Latency Interval to Preserve Real-Time
              Causality”, ICCCS 2018, Haikou, China, on Springer in November 2018.
              <a style="font-size: 24px;" target="view_window" href="https://link.springer.com/chapter/10.1007%2F978-3-030-00006-6_3">Link</a></p>
            <p>Yang Liu, Zhen Huang, Minghao Hu, Shuyang Du, Yuxing Peng, Dongsheng Li and Xu Wang, “MFM: A Multi-level Fused Sequence Matching
              Model for Filtering in Multi-paragraphs Question-Answering”, Advances in Multimedia Information Processing - PCM2018, Hefei, China,
              on Springer in September 2018.
              <a style="font-size: 24px;" target="view_window" href="https://link.springer.com/chapter/10.1007/978-3-030-00764-5_41">Link</a></p>
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